Cover Image

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yutong, Zhou, Yitian, Wang, Xudong, GuoChen, Qin, Caiyan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Similarity to Structure: Training-free LLM Context Compression with Hybrid Graph Priors
by: Zhou, Yitian, et al.
Published: (2026)

GraphMind: From Operational Traces to Self-Evolving Workflow Automation
by: Zhu, Yiwen, et al.
Published: (2026)

TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models
by: Zhang, Jiaquan, et al.
Published: (2026)

MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstracts
by: Li, Weiyue, et al.
Published: (2026)

Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
by: Zhou, Jianpeng, et al.
Published: (2023)

MindMerger: Efficient Boosting LLM Reasoning in non-English Languages
by: Huang, Zixian, et al.
Published: (2024)

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs
by: Xiao, Yilin, et al.
Published: (2025)

DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning
by: Zhang, Ziyin, et al.
Published: (2025)

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
by: Cui, Chaoqun, et al.
Published: (2025)

DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text
by: Li, Shuaiyi, et al.
Published: (2023)

Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation
by: Han, Jinyi, et al.
Published: (2025)

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
by: Mavromatis, Costas, et al.
Published: (2024)

GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery
by: da Silva, Italo Luis, et al.
Published: (2025)

LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
by: Wang, Duo, et al.
Published: (2024)

Avoiding Over-smoothing in Social Media Rumor Detection with Pre-trained Propagation Tree Transformer
by: Cui, Chaoqun, et al.
Published: (2026)

Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
by: Guo, Zhenyuan, et al.
Published: (2026)

On the Step Length Confounding in LLM Reasoning Data Selection
by: Wang, Bing, et al.
Published: (2026)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
by: Li, Yitian, et al.
Published: (2024)

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph
by: Zhang, Yutong, et al.
Published: (2024)

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data
by: Zheng, Xinzhe, et al.
Published: (2025)

Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
by: Abdallah, Hussein, et al.
Published: (2026)

PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations
by: Wu, Yuhe, et al.
Published: (2026)

Can Unconfident LLM Annotations Be Used for Confident Conclusions?
by: Gligorić, Kristina, et al.
Published: (2024)

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)

Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection
by: Huang, Hsiu-Yuan, et al.
Published: (2024)

Steamroller Problems: An Evaluation of LLM Reasoning Capability with Automated Theorem Prover Strategies
by: McGinness, Lachlan, et al.
Published: (2024)

Mind the Gap: The Divergence Between Human and LLM-Generated Tasks
by: Lu, Yi-Long, et al.
Published: (2025)

Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization
by: Ko, Miyoung, et al.
Published: (2024)

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models
by: Jiang, Eric Hanchen, et al.
Published: (2025)

Scale-Free Graph-Language Models
by: Lu, Jianglin, et al.
Published: (2025)

Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning
by: Wagner, Eitan, et al.
Published: (2024)

Arithmetic Reasoning with LLM: Prolog Generation & Permutation
by: Yang, Xiaocheng, et al.
Published: (2024)

Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection
by: Fan, Caoyun, et al.
Published: (2023)

ReasoningShield: Safety Detection over Reasoning Traces of Large Reasoning Models
by: Li, Changyi, et al.
Published: (2025)

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
by: Huan, Maggie, et al.
Published: (2025)

Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt
by: Huang, Zhenzhen, et al.
Published: (2026)

NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation
by: Wu, Weiming, et al.
Published: (2025)

Code Execution as Grounded Supervision for LLM Reasoning
by: Jung, Dongwon, et al.
Published: (2025)

SMaRT: Select, Mix, and ReinvenT -- A Strategy Fusion Framework for LLM-Driven Reasoning and Planning
by: Verma, Nikhil, et al.
Published: (2025)

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA
by: Shen, Xiangqing, et al.
Published: (2025)